National Institutes of Health defines research data as: "Recorded factual material commonly accepted in the scientific community as necessary to document and support research findings."
Therefore we need research data management to be able to evaluate complex data throughout the lifetime of the research life cycle.
Data management is "the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets". The goal is to make doing research easier and more effective.
In a scientific, academic setting this means developing plans and policies for not only post-data management, but how data generated in the laboratory, as a result of experimentation, is stored and saved so it can be used and more easily understood by scientists other than those that originally generated it.
Initiating and being consistent in all phases of data management will provide you (the researcher) and the rest of the science community with significant tools in accessing the data life cycle.
Please do not hesitate to contact us (contacts below) for anything related to research data management
Please contact us if you need any assistance in RDM support.
Adrian Gomez, Science Informationist, email@example.com
Additionally, please come visit us at the Carnegie Library (Building #6 on the CSHL map)